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Cohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities
We study the cohesion within and the coalitions between political groups in the Eighth European Parliament (2014–2019) by analyzing two entirely different aspects of the behavior of the Members of the European Parliament (MEPs) in the policy-making processes. On one hand, we analyze their co-voting...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5106041/ https://www.ncbi.nlm.nih.gov/pubmed/27835683 http://dx.doi.org/10.1371/journal.pone.0166586 |
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author | Cherepnalkoski, Darko Karpf, Andreas Mozetič, Igor Grčar, Miha |
author_facet | Cherepnalkoski, Darko Karpf, Andreas Mozetič, Igor Grčar, Miha |
author_sort | Cherepnalkoski, Darko |
collection | PubMed |
description | We study the cohesion within and the coalitions between political groups in the Eighth European Parliament (2014–2019) by analyzing two entirely different aspects of the behavior of the Members of the European Parliament (MEPs) in the policy-making processes. On one hand, we analyze their co-voting patterns and, on the other, their retweeting behavior. We make use of two diverse datasets in the analysis. The first one is the roll-call vote dataset, where cohesion is regarded as the tendency to co-vote within a group, and a coalition is formed when the members of several groups exhibit a high degree of co-voting agreement on a subject. The second dataset comes from Twitter; it captures the retweeting (i.e., endorsing) behavior of the MEPs and implies cohesion (retweets within the same group) and coalitions (retweets between groups) from a completely different perspective. We employ two different methodologies to analyze the cohesion and coalitions. The first one is based on Krippendorff’s Alpha reliability, used to measure the agreement between raters in data-analysis scenarios, and the second one is based on Exponential Random Graph Models, often used in social-network analysis. We give general insights into the cohesion of political groups in the European Parliament, explore whether coalitions are formed in the same way for different policy areas, and examine to what degree the retweeting behavior of MEPs corresponds to their co-voting patterns. A novel and interesting aspect of our work is the relationship between the co-voting and retweeting patterns. |
format | Online Article Text |
id | pubmed-5106041 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-51060412016-12-08 Cohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities Cherepnalkoski, Darko Karpf, Andreas Mozetič, Igor Grčar, Miha PLoS One Research Article We study the cohesion within and the coalitions between political groups in the Eighth European Parliament (2014–2019) by analyzing two entirely different aspects of the behavior of the Members of the European Parliament (MEPs) in the policy-making processes. On one hand, we analyze their co-voting patterns and, on the other, their retweeting behavior. We make use of two diverse datasets in the analysis. The first one is the roll-call vote dataset, where cohesion is regarded as the tendency to co-vote within a group, and a coalition is formed when the members of several groups exhibit a high degree of co-voting agreement on a subject. The second dataset comes from Twitter; it captures the retweeting (i.e., endorsing) behavior of the MEPs and implies cohesion (retweets within the same group) and coalitions (retweets between groups) from a completely different perspective. We employ two different methodologies to analyze the cohesion and coalitions. The first one is based on Krippendorff’s Alpha reliability, used to measure the agreement between raters in data-analysis scenarios, and the second one is based on Exponential Random Graph Models, often used in social-network analysis. We give general insights into the cohesion of political groups in the European Parliament, explore whether coalitions are formed in the same way for different policy areas, and examine to what degree the retweeting behavior of MEPs corresponds to their co-voting patterns. A novel and interesting aspect of our work is the relationship between the co-voting and retweeting patterns. Public Library of Science 2016-11-11 /pmc/articles/PMC5106041/ /pubmed/27835683 http://dx.doi.org/10.1371/journal.pone.0166586 Text en © 2016 Cherepnalkoski et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Cherepnalkoski, Darko Karpf, Andreas Mozetič, Igor Grčar, Miha Cohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities |
title | Cohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities |
title_full | Cohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities |
title_fullStr | Cohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities |
title_full_unstemmed | Cohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities |
title_short | Cohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities |
title_sort | cohesion and coalition formation in the european parliament: roll-call votes and twitter activities |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5106041/ https://www.ncbi.nlm.nih.gov/pubmed/27835683 http://dx.doi.org/10.1371/journal.pone.0166586 |
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